FR - Machine Learning Engineer

Position: Machine Learning Engineer

Location: France - Nice

Reporting: VP ML/AI

Role: Full-time

The Position

MARSS is investing in the Machine Learning field in order to improve our NiDAR software in the following areas:

• Video Classification, Detection, Tracking

• Pattern recognition / Anomaly detection

• Radar tracking

• Radio Frequency analysis

Our current focus is strongly in the video area, but we aim at growing quickly our experiments in the other fields.

Our team is growing, and we expect the Machine Learning activity to grow the most.

Reporting to our VP ML/AI, we expect the new hire to:

• help collecting and categorizing data from public sources but also our customer base (when authorized)

• help with training data - we outsource annotation, but data still needs to be validated and sometimes annotation transformed for the appropriate network;

• in particular, we build our own tools to help filter and validate the data and the training results, and we expect to keep improving

• test performance and compatibility of new hardware, not only in the Nvidia world with the edge Jetson platform, but also on programmable FPGA or pure server-grade CPU with Intel

• test, improve, and tune existing algorithms (neural networks, Bayes/Markov, decition trees, reinforcement networks, Gaussians...)

• convert existing solutions (and training data) to different frameworks

Requirements

• We are technology agnostic but favor TensorFlow, Keras, and PyTorch;

• Good Python knowledge is important both for the data analysis but also for understanding integration into our backend (which is python based).

• We work on Linux (although laptops are Mac, which is now a second class citizen to Nvidia...)

• We require either working experience or at least appropriate theoretical knowledge (or both).

Education

We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous.

The Work Environment

• Pragmatic tooling: We develop primarily on Macs and Linux.

• Small, agile team: We embrace modern development practices, new ideas are always welcome, and we adopt what works best for us.

• Diverse & multicultural: A well-rounded mix of experienced engineers, sales and project managers, and talented recent graduates.

• Passionate: We genuinely love what we do.

Integration and interfacing

Our core focus is safety and security. We bring cutting-edge software to real-world hardware, no cloud abstractions here. We interface with a wide range of equipment: radar, sonar, thermal imaging, software-defined radios, and more. Our UI runs across touchscreens, tablets, phones, smart glasses, and beyond.

Challenges

This is not a routine role. We operate in mission-critical environments in high-security locations, often with limited connectivity. Your assumptions about cloud-native workflows will be regularly tested. Deadlines are real, and creative problem-solving is essential. If you thrive under those conditions, it can be an extraordinarily rewarding experience.